A Deep learning-based innovative technique for phishing detection in modern security with uniform resource locators

EA Aldakheel, M Zakariah, GA Gashgari, FA Almarshad… - Sensors, 2023 - mdpi.com
Organizations and individuals worldwide are becoming increasingly vulnerable to
cyberattacks as phishing continues to grow and the number of phishing websites grows. As …

ChatGPT and its application in the field of mental health

R Bhattacharyya, K Chakraborty… - Journal of SAARC …, 2023 - journals.lww.com
Chat generative pretrained transformer (ChatGPT) was designed by American start-up
OpenAI designed in 2015, since its formal introduction on December 6, 2022 it had 1 million …

Enhancing phishing detection: A novel hybrid deep learning framework for cybercrime forensics

FS Alsubaei, AA Almazroi, N Ayub - IEEE Access, 2024 - ieeexplore.ieee.org
Protecting against interference is essential at a time when wireless communications are
essential for sending large amounts of data. Our research presents a novel deep learning …

Deep Learning-Based Weed–Crop Recognition for Smart Agricultural Equipment: A Review

HR Qu, WH Su - Agronomy, 2024 - mdpi.com
Weeds and crops engage in a relentless battle for the same resources, leading to potential
reductions in crop yields and increased agricultural costs. Traditional methods of weed …

Block-scrambling-based encryption with deep-learning-driven remote sensing image classification

FS Alsubaei, AA Alneil, A Mohamed, A Mustafa Hilal - Remote Sensing, 2023 - mdpi.com
Remote sensing is a long-distance measuring technology that obtains data about a
phenomenon or an object. Remote sensing technology plays a crucial role in several …

Artificial intelligence for skin permeability prediction: deep learning

K Ita, S Roshanaei - Journal of Drug Targeting, 2024 - Taylor & Francis
Background and objective Researchers have put in significant laboratory time and effort in
measuring the permeability coefficient (Kp) of xenobiotics. To develop alternative …

Digital twin modeling method of the temperature field of thermo-compression bonding blade based on generative adversarial networks

Z Deng, H Huang, J Yang, J Chen, X Gao… - Advances in Engineering …, 2024 - Elsevier
In this paper, a novel method of using deep learning to construct a digital twin of the thermos-
compression bonding blades temperature field is presented. Usually, a heat transfer model …

Predicting the Posture of High-Rise Building Machines Based on Multivariate Time Series Neural Network Models

X Pan, J Huang, Y Zhang, Z Zuo, L Zhang - Sensors, 2024 - mdpi.com
High-rise building machines (HBMs) play a critical role in the successful construction of
super-high skyscrapers, providing essential support and ensuring safety. The HBM's …

[HTML][HTML] Deep Learning System for User Identification Using Sensors on Doorknobs

J Vegas, AR Rao, C Llamas - Sensors, 2024 - mdpi.com
Door access control systems are important to protect the security and integrity of physical
spaces. Accuracy and speed are important factors that govern their performance. In this …

Optimizing Education Management Information Systems (EMIS) Implementation in Religious Education Institutions: Nvivo 12 Plus Analysis

M Samiri, C Budianengsi, A Nilwana… - Jurnal Studi Ilmu …, 2023 - jurnal-umbuton.ac.id
This research aims to analyze the implementation of the Education Management Information
System (EMIS) in Religious Education Institutions of Sidenreng Rappang Regency. The …